Senior Manager, Data Engineering

Stash • New York, NY

12h • Hybrid

About The Position

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we are passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom.
Join our Data team as a Senior Manager, Data Engineering and play a key role in evolving and scaling the data platform that powers critical business decisions across the company. You’ll lead architectural strategy, strengthen data reliability and governance, and drive modernization efforts that unlock faster analytics, experimentation, and AI-driven innovation in a high-growth fintech environment.
This role blends people leadership with deep technical ownership — ideal for a hands-on leader who enjoys shaping architecture while mentoring and growing a high-performing team.

Requirements

• 8+ years of experience in data engineering, data warehousing, or data architecture roles.
• Experience leading or mentoring engineers on small to medium-sized teams.
• Deep expertise in Spark and distributed data processing systems.
• Strong experience working within AWS environments.
• Strong architectural judgment and experience building scalable, production-grade data platforms.
• Experience designing or evolving modern cloud data warehouse solutions.
• Strong understanding of distributed systems, data modeling, and ETL/ELT design patterns.
• Experience improving platform reliability, performance, and cost efficiency.
• Excellent cross-functional communication skills.
• Ability to operate as both a people leader and hands-on technical contributor.

Nice To Haves

• Experience implementing or migrating to Snowflake.
• Working knowledge of DBT and analytics engineering best practices.
• Experience implementing automated ingestion tools such as Fivetran.
• Experience working in regulated environments (PCI, SOC 2, fintech).
• Startup or scale-up experience in fast-moving, high-growth organizations.
• Proven ability to influence architectural direction across multiple engineering teams.

Responsibilities

• Define and drive the evolution of our data platform strategy across Fraud, Brokerage, Marketing, Product, Analytics, and Data Science.
• Lead architectural decisions around distributed processing, warehouse strategy (Snowflake target state), ingestion tooling, and workflow orchestration.
• Design and scale Spark-based ETL/ELT pipelines supporting batch and selective real-time use cases.
• Improve automation, reliability, observability, and cost efficiency across our AWS-based ecosystem.
• Strengthen data governance, lineage, validation, and quality standards across the platform.
• Lead initiatives to modernize ingestion patterns, including expanding tools like Fivetran and improving workflow maintainability.
• Contribute directly to architecture, code reviews, and complex problem-solving across Spark, Airflow, DBT, and warehouse layers.
• Own end-to-end data workflows from ingestion (Postgres and backend systems) through transformation and warehouse delivery.
• Partner cross-functionally to translate evolving business needs into scalable, production-grade data solutions.
• Mentor and develop engineers while fostering a culture of ownership, accountability, and technical excellence.

Benefits

• Comprehensive total rewards package, comprising compensation (salary and equity) and health care benefits
• Complimentary subscription to Stash+ account
• Remote-first work policy – Live and work where you feel the most productive, whether that is in your home, in an office.
• Flexible PTO
• Work-from-home equipment stipends; home internet subsidy
• Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary
• Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed